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Lateral Inhibition in Accumulative Computation and Fuzzy Sets for Human Fall Pattern Recognition in Colour and Infrared Imagery
Joint Authors
Fernández-Caballero, Antonio
Sokolova, Marina V.
Serrano-Cuerda, Juan
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-31
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Fall detection is an emergent problem in pattern recognition.
In this paper, a novel approach which enables to identify a type of a fall and reconstruct its characteristics is presented.
The features detected include the position previous to a fall, the direction and velocity of a fall, and the postfall inactivity.
Video sequences containing a possible fall are analysed image by image using the lateral inhibition in accumulative computation method.
With this aim, the region of interest of human figures is examined in each image, and geometrical and kinematic characteristics for the sequence are calculated.
The approach is valid in colour and in infrared video.
American Psychological Association (APA)
Fernández-Caballero, Antonio& Sokolova, Marina V.& Serrano-Cuerda, Juan. 2013. Lateral Inhibition in Accumulative Computation and Fuzzy Sets for Human Fall Pattern Recognition in Colour and Infrared Imagery. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1033454
Modern Language Association (MLA)
Fernández-Caballero, Antonio…[et al.]. Lateral Inhibition in Accumulative Computation and Fuzzy Sets for Human Fall Pattern Recognition in Colour and Infrared Imagery. The Scientific World Journal No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1033454
American Medical Association (AMA)
Fernández-Caballero, Antonio& Sokolova, Marina V.& Serrano-Cuerda, Juan. Lateral Inhibition in Accumulative Computation and Fuzzy Sets for Human Fall Pattern Recognition in Colour and Infrared Imagery. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1033454
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033454